Bengaluru, Karnataka, India
As Engineer Chapter Lead at ANZ, I bring over two years of experience in data engineering leadership, leveraging skills in project management, data modeling, and data architecture. My role focuses on driving impactful initiatives, enabling teams with robust data solutions, and fostering a collaborative environment to achieve organizational goals. With extensive experience spanning multiple industries, I have contributed to designing scalable data frameworks, optimizing workflows, and delivering high-value solutions. My work reflects a commitment to aligning technical strategies with business needs, ensuring innovation and efficiency in every project.
Embedded with product and business teams to understand analytical and operational requirements, architecting Azure Databricks Lakehouse solutions processing approximately 2 TB of enterprise data that power investment intelligence, subscription platforms, customer analytics, and AI-driven use cases.
Led a team of 10+ data engineers and analysts in modernizing ANZ's enterprise banking data platform, delivering Azure Databricks-based Lakehouse solutions processing 5+ TB of financial data daily across multiple business-critical workloads.
Architected and scaled a Cloudera-based enterprise Data Lake processing over 50 TB of advertising, customer, and campaign data daily across distributed batch and streaming pipelines, enabling high-performance analytics, audience insights, and downstream business applications.
Designed econometric modeling solutions for sales and media analysis using HiveQL, PySpark, and Teradata.